My Projects
Lazaridis School of Business & Economics at Wilfrid Laurier University
Conducted an Applied Econometrics project to investigate the internal and external variables that impact the completion time of referrals at a private geriatric clinic.


Lazaridis School of Business & Economics at Wilfrid Laurier University
Predicted flight delays by conducting exploratory data analysis and implementing machine learning models to analyze the data.
Lazaridis School of Business & Economics at Wilfrid Laurier University
Completed a Visualization and Communication with Tableau project, gaining hands-on experience applying descriptive and exploratory analysis to analyze the flight delay problem in the United States using various visualizations in Tableau.


University of Toronto
We looked at the Play2Prevent game data hoping to help the researchers at Yale University to come up with predictions about the potential real-life behaviors of the students when they are exposed to the use of these harmful stimulants. We used Tableau and R to do our visualizations and used R for our exploratory analysis. We are the first team to have won an award at DataFest@UofT whose home campus is UTM.

University of Toronto
In this project, I conducted a thorough analysis of a real dataset in order to understand its meaning and select a relevant subset for further analysis. I then designed a relational schema to represent the data, carefully considering various options and making informed decisions. I used SQL Data Definition Language to create the schema and cleaned and prepared the dataset for import into a postgreSQL database. I utilized SQL Data Manipulation Language to analyze the data and answer relevant questions, and presented my technical findings to a technical audience. This project allowed me to develop skills in data analysis, database design and management, and presentation skills.
University of Toronto
In the Treemap project, I developed a tool to model and visualize hierarchical data using trees. I implemented recursive operations on trees and designed classes with a common interface using inheritance. I also used the os and pygame libraries to create an interactive GUI and utilized the PyCharm debugger to troubleshoot and debug the program, including analyzing complex dictionary data from JSON. Through this project, I gained expertise in data modeling, tree operations, visualization, and debugging.


University of Toronto
As part of a programming project at the University of Toronto, I developed a ride sharing simulation that showcased my strong skills in object-oriented design and implementation. In this project, I created several interacting classes to model prospective riders with different levels of patience, drivers starting from various locations, and dispatchers attempting to match them up.
University of Toronto
As part of my Statistics Research Project at the University of Toronto, I had the opportunity to work on a project focused on understanding student behavior at the registrar's office. Our goal was to estimate the average number of students who visit each type of advisor (Academic, Financial, and Success) over a given period of time.


University of Toronto
Associated with University of Toronto Participated in a Kaggle competition and placed 4th out of over 60 teams with a prediction project.